AI-Driven Self-Alienation: How Technological Perfection Makes Humans Ashamed of Their Own Minds
Source: https://www.theguardian.com/profile/joseph-de-weck. "It used to be our imperfect bodies that made us insecure. With AI, it’s our minds as well | Joseph de Weck | The Guardian." August 20, 2026. www.theguardian.com
The Gist
The author argues that just as people once felt ashamed of their natural bodies compared to sleek machines and got plastic surgery to look more "designed," now people are starting to feel ashamed of their own minds compared to AI, causing them to unconsciously copy AI's speech patterns and writing style. This creates a cycle where the more human-like AI becomes, the more human beings try to become like AI—and the author thinks the resulting unease we feel about this (not knowing what's human anymore) is actually valuable and should be preserved as a kind of psychological resistance.
Conclusion
Just as humans previously felt inferior to machines regarding their bodies (driving cosmetic enhancement), the rise of AI is now causing humans to feel inferior about their minds, leading them to imitate AI's cognitive and linguistic patterns—a self-reinforcing cycle of self-alienation that we must consciously resist rather than accept.
Premises
- Günther Anders predicted that technological progress would make humans feel ashamed of their 'imperfect,' naturally-evolved bodies compared to precisely engineered products, and that rather than rebelling, humans would seek to resemble these products.
- This dynamic is empirically visible today in the boom of cosmetic procedures aimed not at looking natural but at achieving product-like symmetry and standardization (e.g., Kardashian-style contouring, looksmaxxing).
- The same inferiority dynamic Anders described for bodies is now extending to minds: humans compare their limited, moody cognition unfavorably to AI's tireless, powerful computing ability.
- Empirical evidence (the Max Planck Institute study of 360,000 YouTube videos and 772,000 podcasts) shows people increasingly adopting AI-preferred vocabulary (e.g., 'delve,' 'boast,' 'meticulous') in their own spoken language, demonstrating unconscious imitation of AI's linguistic style.
- This imitation is spreading into everyday communication and creative expression—text messages, love songs, professional writing—making it increasingly difficult to distinguish authentically human output from AI-generated or AI-influenced output.
- This blurring produces a pervasive 'uncanny valley' sensation—a persistent doubt about whether what we encounter (faces, voices, text) is genuinely human—which is becoming a defining condition of contemporary life.
- The proper response to this self-alienation is not to eliminate the uncanny discomfort but to cultivate and heed it, since that feeling of unease is itself a form of resistance to losing our humanity.
Assumptions
- That the observed increase in cosmetic procedures and AI-style vocabulary usage is primarily driven by feelings of inferiority/shame rather than other motivations (convenience, efficiency, social pressure, cost reduction, etc.)
- That Anders' mid-20th century philosophical prediction about mass-produced goods and bodies can be validly extended and applied to AI and minds without significant disanalogy.
- That linguistic convergence toward AI-preferred words necessarily indicates psychological self-alienation rather than simple exposure-based language adoption (a common linguistic phenomenon unrelated to shame).
- That the 'uncanny valley' feeling is a moral/psychological signal worth cultivating, rather than simply an adaptive perceptual response to categorization difficulty.
- That humans have historically had a stable, coherent sense of 'authentic' selfhood that is now being eroded, rather than human self-presentation always having been mediated and performative to some degree.